Senior ML Engineer, Localization & Sensor Fusion (Remote)

Torc Robotics, Inc.; Ann Arbor (MI); Hybrid; USD 177,000 - 213,000; Full time

Benefits offered by this job

Bonus

Stock options

Medical insurance

Dental & vision

401K match

Flexible schedule

Paid vacation

Holiday closures

AD&D insurance

Life insurance

Job summary

Torc Robotics, Inc. seeks a Senior Machine Learning Engineer focused on localization to design and deploy production ML models for ego-motion estimation using multi-sensor data.

You will advance state estimation and sensor fusion, build scalable training pipelines, and work with perception, mapping, planning, and controls teams to deliver robust autonomous driving capabilities. Applicants should have strong Python/C++ software skills, PyTorch expertise, and a background in robotics localization

Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, Robotics, or a related field with 6+ years of relevant industry experience, or a Master’s degree with 3+ years of relevant industry experience, or a PhD with 1+ year of relevant industry experience.
• Experience with AV or robotics localization systems (e.g., LiDAR-based localization, visual odometry, SLAM, or map-based pose estimation).
• Strong experience developing and deploying ML models for perception, localization, or sensor fusion domains.
• Proficiency with PyTorch and modern ML tooling for training, inference, and optimization.

Responsibilities

• Design, develop, and deploy production ML models for ego-motion estimation and localization, including learned pose estimation, sensor extrinsic calibration, map matching, and sensor fusion using camera, LiDAR, radar, and other vehicle sensors.
• Develop scalable training and evaluation workflows using PyTorch, distributed training infrastructure, and large-scale real-world datasets.
• Design and improve state estimation and sensor fusion algorithms for robust vehicle pose, velocity, and acceleration estimation.
• Analyze large-scale vehicle data to characterize performance, identify failure modes, and drive model and system improvements.
• Develop robust, efficient production software in modern C++ and Python across the full development lifecycle.
• Define evaluation, verification, and validation strategies to ensure localization quality, robustness, and safety across diverse operating conditions.
• Make technical design and architecture decisions, balancing model performance, computational efficiency, robustness, and production constraints.
• Collaborate with perception, mapping, planning, controls, and platform teams to deliver integrated autonomous driving capabilities.
• Provide technical leadership through design reviews, code reviews, mentoring, and development of engineering best practices.

Skills

PyTorch

Python

C++

Robotics fundamentals

Sensor fusion

Localization systems

Education

Bachelor's degree in CS/SE/Robotics

Master's degree

PhD

Tools

ROS

Linux

Job description

Torc Robotics, Inc. seeks a Senior Machine Learning Engineer focused on localization to design and deploy production ML models for ego-motion estimation using multi-sensor data.

You will advance state estimation and sensor fusion, build scalable training pipelines, and work with perception, mapping, planning, and controls teams to deliver robust autonomous driving capabilities. Applicants should have strong Python/C++ software skills, PyTorch expertise, and a background in robotics localization